rachio-mcp
MCP server for full control of Rachio sprinkler controllers via the reverse-engineered internal gRPC API, enabling schedule management, manual zone runs, rain delays, and weather data retrieval.
README
rachio-mcp
<!-- mcp-name: io.github.rwestergren/rachio-mcp -->
An MCP (Model Context Protocol) server for Rachio sprinkler controllers, built on the reverse-engineered Android-app gRPC API.
The public Rachio API exposes only read-only access to schedules and a handful of single-action endpoints. This server instead talks to the same internal gRPC backend (cloud.rach.io:443) that the official mobile app uses, giving an agent the full set of operations: listing devices and zones, inspecting schedules, creating and previewing new schedules, updating and deleting them, starting and stopping manual zone runs, setting rain delays, and more.
⚠️ Unofficial. This server uses a reverse-engineered API. It works as of Rachio Android v4.21.18 and is not supported by Rachio. The schema can change without notice.
Features
- Devices and zones — list controllers, sensors, and weather stations; inspect zone soil/nozzle/plant configuration and live state
- Schedules — list, read, preview (dry-run), create, update, delete, copy, run, and skip schedules
- Live control — stop watering, run specific zones manually, set rain delays, skip/pause/resume the currently-running zone
- Context — calendar of upcoming runs, recent/past run history, active alerts, observed/forecast weather readings
Quick Start
1. Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh
2. Mint a long-lived access token
The MCP server itself never sees your Rachio password. Instead you mint a long-lived (~25-year) access token once, and supply only the token to the MCP client.
uvx --from rachio-mcp rachio-mcp-token
It will prompt for your Rachio email and password, then print a RACHIO_ACCESS_TOKEN value to paste into your MCP client config. The token remains valid until you change your password or explicitly log out from another device.
Or, if you'd rather have the commands on your PATH permanently, install once:
uv tool install rachio-mcp
Then rachio-mcp-token (and rachio-mcp itself) are available as regular commands.
For scripting (e.g. pipe into a password manager):
RACHIO_EMAIL=you@example.com RACHIO_PASSWORD=... \
uvx --from rachio-mcp rachio-mcp-token --json | jq .access_token
3. Configure your MCP client
uvx downloads and runs the server on demand — no separate install step required.
OpenCode (opencode.json)
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"rachio": {
"type": "local",
"command": ["uvx", "rachio-mcp"],
"environment": {
"RACHIO_ACCESS_TOKEN": "{env:RACHIO_ACCESS_TOKEN}"
},
"enabled": true
}
}
}
Claude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"rachio": {
"command": "uvx",
"args": ["rachio-mcp"],
"env": {
"RACHIO_ACCESS_TOKEN": "paste-your-token-here"
}
}
}
}
If a tool call later returns a "token rejected" error, rerun rachio-mcp-token to mint a fresh one and update the config.
Available Tools
24 tools over stdio transport.
Discovery
| Tool | Description |
|---|---|
list_devices |
Every device on the account — controllers, sensors, weather stations |
get_device |
Full details + live state for a single device |
list_zones |
Zones configured on a controller, with agronomic metadata |
get_zone |
Full detail for a single zone |
get_calendar |
Scheduled runs + skip events for a date range |
get_run_history |
Observed recent/past zone-run telemetry plus calendar context |
get_active_alerts |
Unresolved alerts on a device or zone |
get_weather |
Observed + forecast weather readings for a location |
Schedule CRUD
| Tool | Description |
|---|---|
list_schedules |
Filter by device, location, zone, or schedule id |
get_schedule |
Single schedule + its locations/devices |
preview_schedule |
Dry-run — returns the Schedule that create_schedule would produce, including the server-generated human-readable summary. Never persists |
create_schedule |
Create a new schedule |
update_schedule |
Partial-merge edit: name, enabled, timing/criteria, day restrictions, and per-zone add/update/remove |
delete_schedule |
Permanent, destructive |
copy_schedule |
Duplicate an existing schedule |
run_schedule |
Trigger an immediate run |
skip_schedule |
Skip or re-arm the next scheduled run |
get_schedule_runs |
Past runs + skip events for a schedule |
Live controller ops
| Tool | Description |
|---|---|
stop_watering |
Stop whatever is running |
start_zones |
Start one or more zones manually by zone number + duration |
set_rain_delay |
Defer all schedules until a given time |
skip_current_zone |
Skip to the next zone in the active run |
pause_watering |
Pause the current zone for N seconds |
resume_watering |
Resume a paused run |
All device_id, zone_id, schedule_id, and location_id parameters are UUIDs obtained from the list_* tools. Dates use YYYY-MM-DD (or MM-DD for annual-recurring schedules); times use HH:MM.
Recommended Workflow for Schedule Changes
list_devices→ pick your controllerlist_zones(device_id=...)→ note each zone's id andzone_numberlist_schedules(device_id=...)andget_schedule(schedule_id=...)→ understand what's already configuredpreview_schedule(...)→ dry-run your proposed schedule. Read the returnedsummarystring and the per-zone breakdowncreate_schedule(...)(same arguments) → commitget_schedule(schedule_id=<new>)→ confirmdelete_schedule(schedule_id=<new>)→ rollback if needed
preview_schedule is safe to call repeatedly — it never writes anything.
To edit an existing schedule instead of recreating it, use update_schedule. It performs a partial merge: read the schedule with get_schedule, then pass only the fields you want to change (name, enabled, timing/criteria, days, or zones/zone_ids_to_remove). Omitted fields are left untouched.
How It Works
This server talks to cloud.rach.io:443 over TLS-protected gRPC, the same backend used by the Rachio Android app. Authentication uses the OAuth 2 password grant against oauth.rach.io/oAuth/token with the Android app's hardcoded client credentials.
The gRPC .proto definitions were recovered by decompiling the Rachio Android APK (v4.21.18) with jadx, extracting the embedded FileDescriptorProto payloads from the generated Java classes, and round-tripping them through protoc to produce clean .proto source. Pre-compiled Python stubs for the 40-odd messages/services used by the 23 MCP tools ship in src/rachio_mcp/proto/.
Regenerate those stubs any time the app's proto surface changes:
scripts/build_protos.sh
The stub generator reads from reverse-engineering/protos/, which is not shipped in the wheel but is kept alongside the source for future updates.
Python API
The MCP server wraps a standalone client you can use directly:
from rachio_mcp import RachioClient
c = RachioClient()
# Discovery
for d in c.list_devices():
print(d["type"], d["id"], d.get("name"))
# Preview a proposed schedule
preview = c.preview_schedule(
name="Fall Lawn",
schedule_type="FIXED",
zones=[
{"device_id": "<controller>", "zone_id": "<zone>", "watering_time": 1200},
],
start_time="06:00",
days=["WED"],
annual_start="09-16",
annual_end="11-15",
smart_cycle=True,
)
print(preview["summary"])
# Commit
created = c.create_schedule(name="Fall Lawn", ...)
print("created", created["id"])
# Rollback
c.delete_schedule(created["id"])
The client reads RACHIO_ACCESS_TOKEN from the environment, derives the user's user_id lazily on first use (via LocationService.ListLocations), and keeps both in memory for the lifetime of the process. Nothing is written to disk.
Environment
| Variable | Required | Description |
|---|---|---|
RACHIO_ACCESS_TOKEN |
Yes | Long-lived bearer token minted by rachio-mcp-token. Valid for ~25 years unless revoked. |
LOG_LEVEL |
No | Python logging level (default: INFO). Logs go to stderr; stdio transport's stdout is reserved for the MCP protocol. |
Minting a token (one-time setup)
| Variable | Used by | Description |
|---|---|---|
RACHIO_EMAIL |
rachio-mcp-token only |
Rachio account email. If unset, rachio-mcp-token prompts interactively. |
RACHIO_PASSWORD |
rachio-mcp-token only |
Rachio account password. If unset, rachio-mcp-token prompts interactively with a masked input. |
Neither RACHIO_EMAIL nor RACHIO_PASSWORD is ever read by the MCP server itself — they exist only to feed the one-time token-mint CLI.
Transport
stdio only. Remote HTTP with OAuth 2.1 is not supported in v0.1.
License
MIT — see LICENSE.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。